Identify if an object is a needle using AI

Below is a free classifier to identify if an object is a needle. Just upload your image, and our AI will predict if the object is a needle - in just seconds.

if an object is a needle identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-an-object-is-a-needle", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-an-object-is-a-needle/invoke', {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
            'Content-Type': 'application/json',
        },
        body: JSON.stringify(
            {"data": "your_image_url"}
        )
    })
    .then(response => response.json())
    .then(data => console.log(data));
                

    curl -X POST \
        -H "Content-Type: application/json" \
        -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
        -d '{"data": "your_image_url"}' \
        https://www.nyckel.com/v1/functions/if-an-object-is-a-needle/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the object is a needle.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Is Needle and Is Not Needle.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the object is a needle).

Whether you're just curious or building if an object is a needle detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify if an object is a needle at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Healthcare Waste Management: In medical facilities, accurately identifying needles in waste bins can enhance safety protocols. By implementing a needle identifier, hospitals can automate the sorting process to ensure proper disposal and minimize the risk of needle-stick injuries.

  • Sewing and Textile Industry: In factories where sewing and stitching occur, a needle identification system can assist in detecting lost or misplaced needles. This can prevent costly machinery damage, minimize hazards for workers, and enhance overall workplace safety.

  • Robotics and Automation: In manufacturing or assembly lines involving small parts, an object recognition system can ensure that robots correctly identify and handle needles. This will improve operational efficiency, reduce errors, and decrease downtime caused by machinery malfunction.

  • Home Safety Products: Smart home devices could integrate needle identification to enhance safety around children and pets. With this feature, the devices can alert users about the presence of needles in areas like crafting or sewing rooms, preventing potential injuries.

  • Environmental Cleanup Operations: In areas such as parks and beaches, a needle identification system can assist cleanup crews in identifying and safely removing discarded needles. This will ensure public safety and environmental cleanliness while promoting community health initiatives.

  • Smart Waste Bins: Waste management companies can deploy smart bins equipped with needle identification technology for better recycling sorting. By automatically detecting sharps and segregating them from other waste, companies can improve recycling processes and reduce contamination risks.

  • Emergency Response Training: Needle identification technology can be used in training simulations for emergency responders. By incorporating this function into training scenarios, responders can learn to quickly identify hazardous materials and improve their response strategies in real-world situations.

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